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Courses - Spring 2024
Marine-Estuarine-Environmental Sciences Department Site
Open Seats as of
02/28/2024 at 10:30 PM
Applied Bayesian Statistics
Credits: 1
Grad Meth: Reg, Aud
Recommended: MEES 698B or equivalent course, students are encouraged to discuss with the instructor.
Credit only granted for: MEES 608R or MEES612.
Formerly: MEES608R.
This seminar will explore the advanced practices of Bayesian network and graphical model to high dimensional inter-disciplinary environmental data. Through hands-on experience and real studies from Bayesian perspectives, students will learn the basics of evaluating Bayesian network and graphical analyses, and interpreting and communicating the results. Case studies involving ecological and environmental science will be used to illustrate Bayesian analyses. The statistical programming language R and software packages such as OpenBUGS, JAGS, and STAN will be used in illustrating Bayesian models.
Offered synchronously to all MEES partner institutions via video. Please contact the instructor(s) for access and logistical information as needed.